We are seeking a highly skilled Snowflake Engineer with at least 5 years of hands-on experience in Snowflake, and a strong command of Python and SQL. The ideal candidate will be responsible for building and optimizing data pipelines, transforming complex data sets, and enabling productive data storage and access using modern cloud-based data architectures.

Key Responsibilities:
- Design, develop, and maintain scalable and robust ETL/ELT pipelines using Snowflake and Python.
- Write efficient SQL queries for data extraction, transformation, and reporting.
- Perform end-to-end data migration from on-prem or other cloud databases (e.g., Oracle, SQL Server, MySQL, Redshift) to Snowflake, ensuring minimal downtime and data integrity.
- Optimize Snowflake data models, including schema design, clustering, and query performance tuning.
- Work with stakeholders to understand data requirements and translate them into technical solutions.
- Integrate data from multiple sources including APIs, flat files, cloud storage, and relational databases.




- Implement data quality checks and monitoring to ensure data reliability and integrity.
- Collaborate with Data Analysts, Scientists, and Engineers on cross-functional data initiatives.
- Maintain documentation for data pipelines, schema changes, and processes.

Required Skills & Qualifications:
- Bachelors degree in Computer Science, Information Technology, or related field.
- 4+ years of experience working with Snowflake, including hands-on usage of Snowflake SQL, SnowSQL, Snowpipe, Snowpark, Streams, Tasks, and performance optimization.
- Strong Python skills for data manipulation and automation.
- Advanced SQL skills with the ability to write complex queries and stored procedures.
- Experience with data pipeline orchestration tools (e.g., Airflow, DBT, Prefect, etc.).
- Familiarity with cloud platforms (AWS/GCP/Azure) and cloud storage systems (S3, GCS, etc.).
- Proven experience in data migration projects, including strategy, exec

📌 Snowflake Data Engineer (Mumbai)
🏢 fugetron
📍 Mumbai